Eq. n˚ and correlation type

Equation

R

R²

MBE

RMSE

t

1.1. Linear

$y=0.4163x+0.2285$

0.9407

0.8848

−0.000175

0.017199

0.033745

1.2. ''

$y=0.3901x^{\prime }+0.2297$

0.9414

0.8862

0.000033

0.017097

0.006466

2.1. Logarithmic

$y=0.2047\ln x+0.5845$

0.9411

0.8857

0.000058

0.017133

0.011292

2.2. ''

$y=0.2041\ln x^{\prime }+0.5718$

0.9424

0.8880

−0.000300

0.017286

0.057570

3.1. Exponential

$y=0.2686{\text{e}}^{0.9578x}$

0.9398

0.8720

−0.000408

0.042013

0.032236

3.2. ''

$y=0.2694{\text{e}}^{0.8973x^{\prime }}$

0.9343

0.8729

0.001700

0.043209

0.130589

4.1. Power

$y=0.6100x^{0.4726}$

0.9375

0.8789

0.001575

0.041801

0.125056

4.2. ''

$y=0.5924{x^{\prime }}^{0.4712}$

0.9385

0.8808

0.001625

0.041493

0.129988

5.1. Quadratic

$y=0.1742+0.6501x-0.2381x^2$

0.9328

0.8700

−0.000558

0.017045

0.108699

5.2. ''

$y=0.1669+0.6364x^{\prime }-0.2279{x^{\prime }}^2$

0.9428

0.8889

0.000125

0.016898

0.024535

Mean value of statistical indicator

0.9385

0.8808

0.000368

0.027117

0.065925